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We are a market-leading recruitment and talent acquisition partner with a proven heritage and success from graduate to executive level across digital, media, marketing, creative, research, events and communications.
We can offer a developing international network that can be mapped to your career, enabling you to explore opportunities in Europe and Asia.
We have the strength and backing of a heavyweight organisation that feels and operates like a specialist niche agency – we’ll get to know you, provide a personalised service and help you realise your career aspirations.
We have access to a broad range of permanent and interim opportunities, thanks to our partnership with some of the world’s biggest and best communications and marketing businesses.
We have detailed knowledge of the opportunities and employers we represent.
We give you the opportunity to work in a committed partnership every step of the way, from initial meeting and managing the offer process, through to advising on resignation and counter offers.
We help start, develop and enrich people’s careers.

Bringing sexy back... Data science is big business

Data science is big business. It’s about transforming data into business value with the aid of complex algorithms and machine learning techniques.

If you’re an individual fortunate enough to possess a degree in statistics, machine learning or computer science, how can you now become a Data scientist and get hired?

The challenge is, that being a Data science superstar you’ll almost certainly need to have a long list of skills. Integral to the role is being able to hold the analytical capabilities of a scientist whilst having the business expertise of an executive. You’ll also need to ask the right questions to get the most from your data and the business as a whole.

Microsoft cites a Data Scientist as “representing an evolution from the business or data analyst role. The formal training is similar, with a solid foundation typically in computer science and applications, modelling, statistics, analytics and math.”

Many companies are demanding Data scientists (especially those that rely on social media streams, consumer data or crunching large data sets) to apply advanced statistical modelling techniques to make discoveries about business problems.

The data field has rapidly evolved with scientists taking businesses in new directions, solving complex algorithms and developing world first processes. This evolution in data coupled with the range of skills that data scientists possess makes the role of a DS exciting, challenging and totally relevant to the digital age.

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On the off chance that you possess this agglomeration of skills, you might have what it takes to be a data scientist. If so, these are good times. LinkedIn just voted "statistical analysis and data mining" the top skill that got people hired in 2014.